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Reseach Article

Article:Realization of Framework for Web Content Extraction and Classification

by Ganesh D. Puri, Prof. Y.C. Kulkarni
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 32 - Number 6
Year of Publication: 2011
Authors: Ganesh D. Puri, Prof. Y.C. Kulkarni
10.5120/3908-5486

Ganesh D. Puri, Prof. Y.C. Kulkarni . Article:Realization of Framework for Web Content Extraction and Classification. International Journal of Computer Applications. 32, 6 ( October 2011), 22-26. DOI=10.5120/3908-5486

@article{ 10.5120/3908-5486,
author = { Ganesh D. Puri, Prof. Y.C. Kulkarni },
title = { Article:Realization of Framework for Web Content Extraction and Classification },
journal = { International Journal of Computer Applications },
issue_date = { October 2011 },
volume = { 32 },
number = { 6 },
month = { October },
year = { 2011 },
issn = { 0975-8887 },
pages = { 22-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume32/number6/3908-5486/ },
doi = { 10.5120/3908-5486 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:18:28.700309+05:30
%A Ganesh D. Puri
%A Prof. Y.C. Kulkarni
%T Article:Realization of Framework for Web Content Extraction and Classification
%J International Journal of Computer Applications
%@ 0975-8887
%V 32
%N 6
%P 22-26
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Web content extraction and classification can be viewed as combination of different methods. Nowadays web page contains lot of information including main contents. Contents extraction which are of user’s interest is main task. Text mining is the technique that helps users to find useful information from a large amount of digital text documents on the Web or databases. It is therefore crucial that a good text mining model should retrieve the information that meets user’s needs within a relatively efficient time frame. A first step toward any Web-based text mining effort would be to collect a significant number of Web mentions of a subject. Thus, the challenge becomes not only to find all the subject occurrences, but also to filter out just those that have the desired meaning. The system described in this paper is capable of extracting main content and classify it. Vector space model method is used for classification.

References
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Index Terms

Computer Science
Information Sciences

Keywords

MVC Architecture VSM model Text Mining Extraction Classification